Installation
About
Implements fast Monte Carlo simulations for goodness-of-fit (GOF) tests for discrete distributions. This includes tests based on the Chi-squared statistic, the log-likelihood-ratio (G^2) statistic, the Freeman-Tukey (Hellinger-distance) statistic, the Kolmogorov-Smirnov statistic, the Cramer-von Mises statistic as described in Choulakian, Lockhart and Stephens (1994) doi:10.2307/3315828, and the root-mean-square statistic, see Perkins, Tygert, and Ward (2011) doi:10.1016/j.amc.2011.03.124.
github.com/josh-mc/discretefit | |
System requirements | C++11 |
Bug report | File report |
Key Metrics
Downloads
Yesterday | 2 0% |
Last 7 days | 59 -20% |
Last 30 days | 235 -11% |
Last 90 days | 697 -21% |
Last 365 days | 3.035 +2% |